Datasaur

Datasaur is an enterprise AI lab that builds private, secure LLM and data solutions deployed on a customer's own infrastructure. Its Data Studio is a collaborative data-labeling platform (span, row, document, bounding-box, conversational and audio tasks) with ML-assisted labeling, while LLM Labs covers sandboxing, deployment, knowledge bases, model integrations and evaluation. Products include an enterprise chatbot, document intelligence, PII/PHI redaction and private agents, serving legal, healthcare, finance, insurance, eCommerce and government. Developers integrate through a GraphQL API (OAuth2 client credentials) at app.datasaur.ai/graphql, the Robosaur CLI, webhooks, and SAML/SCIM for workspace SSO.

Datasaur is profiled on the APIs.io network. Tagged areas include Company, Enterprise Saas, Data Labeling, Artificial Intelligence, and Machine Learning.

The Datasaur catalog on APIs.io includes 1 event-driven AsyncAPI specification.

Datasaur’s developer surface includes documentation, API reference, getting-started guide, engineering blog, pricing, signup flow, support, and 24 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

56.7/100 strong ▬ flat Agent 21/100 agent aware Front door AI 6/6 dominant Heartbeat 58/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaidSelf serve

0 APIs 2 Agent Skills

Company Enterprise Saas Data Labeling Artificial Intelligence Machine Learning LLM Natural Language Processing Data Annotation GraphQL

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 56.7/100 · strong

Contract Quality 8.3 / 21

Developer Ergonomics 11.2 / 17

Access Clarity 15.9 / 17

Operational Transparency 4.7 / 11

Contract Governance 1.9 / 10

Discoverability 4.7 / 9

Regulatory Posture 4.1 / 15

Agent readiness — 21/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 6 / 6

Agent Skills 5 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)

9 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 39.0 — up to +15.3 composite points
Contract Governance scores 18.2 — up to +9.8 composite points
Operational Transparency scores 42.1 — up to +7.5 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/datasaur/apis.yml: open an issue on github.com/api-evangelist/datasaur to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Hugging Face Hub Organisations	builds-on	26.8 (thin)	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

GraphQL

tagged — the provider's own APIs.json carries the standard as a tag; implementation not verified

Agent Skills 2

Packaged agent skills for driving this provider's APIs from an AI assistant.

Create a Datasaur labeling project

AGENT SKILL

Export Datasaur projects and manage tags

AGENT SKILL

Datasaur API pricing

Prices published by Datasaur, read 2026-10-07 from datasaur.ai/pricing.

Plan	Price
Specific Workflow	Starting from $50K/year Includes: Streamline a standard workflow with AI; Scoping, implementation and optimization; Ideal as pilot pro
Starter Engagement	Starting from $85K/year Includes: Proof of concept or pilot project; Rapid validation of AI use cases
Enterprise Pilot	Starting from $150K/year Includes: Everything in Starter Engagement, plus end-to-end workflow automation or LLM integration; compliance
Strategic Partnership	Custom Includes: Everything in Enterprise Pilot, plus multi-department rollout, custom governance, compliance, and tr

Plan details, limits and sources →

Billed by: subscription · FinOps profile →

Pricing Plans 2

Published pricing tiers and plan structures.

Datasaur Plans Pricing

4 plans

PLANS

Datasaur Price Estimates

0 plans

PLANS

Service Levels 1

Uptime the provider promises or reports, as SLA4OAI. Read from its own pages; APIs.io runs no monitors.

Datasaur

SLA

FinOps 1

Cost, billing, and metering signals for API financial operations.

Datasaur Finops

FINOPS

Event Specifications 1

AsyncAPI definitions for this provider's event-driven and streaming APIs.

Datasaur Webhooks

ASYNCAPI

Security Posture 3

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Datasaur Authentication

oauth2 · 1 scheme

SECURITY

Datasaur Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Datasaur Trust Center

SOC 2, HIPAA, GDPR

SECURITY

Resources

Get Started 4

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Login

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

X-MCPServerCandidate

X-MCPServerCandidate

LLMsTxt

LLMsTxt

AgentSkill

AgentSkill

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Conformance

Lifecycle

Conventions

DataModel

Webhooks

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

CLI

CLI

Access & Security 4

Authentication, authorization, and security posture

TrustCenter

Compliance

DomainSecurity

Authentication

Operate 4

Status, limits, changes, and where to get help

Support

StatusPage

Deprecation

ChangeLog

Commercial 4

Pricing, plans, and the legal terms of use

Plans

Pricing

TermsOfService

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: datasaur
name: Datasaur
description: Datasaur is an enterprise AI lab that builds private, secure LLM and data solutions deployed on a customer's
  own infrastructure. Its Data Studio is a collaborative data-labeling platform (span, row, document, bounding-box, conversational
  and audio tasks) with ML-assisted labeling, while LLM Labs covers sandboxing, deployment, knowledge bases, model integrations
  and evaluation. Products include an enterprise chatbot, document intelligence, PII/PHI redaction and private agents, serving
  legal, healthcare, finance, insurance, eCommerce and government. Developers integrate through a GraphQL API (OAuth2 client
  credentials) at app.datasaur.ai/graphql, the Robosaur CLI, webhooks, and SAML/SCIM for workspace SSO.
url: https://raw.githubusercontent.com/api-evangelist/datasaur/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- initialized-capital
x-tier: stub
x-tier-reason: portfolio-lead
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: paid
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Paid · Self-serve signup
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
image: https://cdn.prod.website-files.com/623952e7f678f73f3096fd25/66c5ad5767cd845864d963b5_webclip.jpg
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
x-docs-platform: gitbook
x-docs-platform-confidence: high
x-docs-platform-checked: 2026-09-25
tags:
- Company
- Enterprise Saas
- Data Labeling
- Artificial Intelligence
- Machine Learning
- LLM
- Natural Language Processing
- Data Annotation
- GraphQL
tags_raw:
- Company
- Enterprise Saas
- Data Labeling
- Artificial Intelligence
- Machine Learning
- Large Language Models
- NLP
- Data Annotation
- GraphQL
- Machine-Learning
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/datasaur-plans-pricing.yml
- type: Website
  url: https://datasaur.ai/
- type: DeveloperPortal
  url: https://docs.datasaur.ai/
- type: Documentation
  url: https://docs.datasaur.ai/
- type: APIReference
  url: https://api-docs.datasaur.ai/
- type: GettingStarted
  url: https://docs.datasaur.ai/welcome-to-datasaur/readme
- type: Blog
  url: https://datasaur.ai/blog
- type: Pricing
  url: https://datasaur.ai/pricing
- type: SignUp
  url: https://app.datasaur.ai/sign-up
- type: Login
  url: https://app.datasaur.ai/login
- type: Support
  url: mailto:support@datasaur.ai
- type: TermsOfService
  url: https://datasaur.ai/terms-of-service
- type: PrivacyPolicy
  url: https://datasaur.ai/privacy-policy
- type: GitHubOrganization
  url: https://github.com/datasaur-ai
- type: StatusPage
  url: https://status.datasaur.ai/
- type: TrustCenter
  url: security/datasaur-trust-center.yml
- type: Compliance
  url: https://datasaur.ai/studio/security
- type: DomainSecurity
  url: security/datasaur-domain-security.yml
- type: Authentication
  name: Datasaur authentication profile
  url: authentication/datasaur-authentication.yml
- type: Packages
  name: Datasaur packages
  url: packages/datasaur-packages.yml
- type: CLI
  name: Robosaur CLI
  url: cli/datasaur-cli.yml
- type: X-MCPServerCandidate
  name: Datasaur MCP (candidate)
  url: mcp/datasaur-mcp.yml
  note: 'Renamed from MCPServer 2026-09-03 (roadmap#247): the manifest self-describes as status: candidate — a tool list derived
    from the published API contracts, not an existing server. The scorer already read the manifest and reported mcp_server
    correctly; the MCPServer type was crediting the artifact-type surfaces with a server that does not exist.'
- type: LLMsTxt
  name: Datasaur llms.txt
  url: llms/datasaur-llms.txt
- type: Conformance
  name: Datasaur conformance
  url: conformance/datasaur-conformance.yml
- type: Lifecycle
  name: Datasaur lifecycle
  url: lifecycle/datasaur-lifecycle.yml
- type: Deprecation
  name: Datasaur deprecation policy
  url: lifecycle/datasaur-lifecycle.yml
- type: ChangeLog
  name: Datasaur release notes
  url: changelog/datasaur-changelog.yml
- type: Conventions
  name: Datasaur API conventions
  url: conventions/datasaur-conventions.yml
- type: DataModel
  name: Datasaur data model
  url: data-model/datasaur-data-model.yml
- type: Webhooks
  name: Datasaur webhooks
  url: asyncapi/datasaur-webhooks.yml
- type: AgentSkill
  name: Datasaur agent skills
  url: skills/_index.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

Datasaur API — frequently asked questions

How do I authenticate with the Datasaur API?

Datasaur uses bearer-token authentication (oauth2 · 1 scheme). The details are profiled on APIs.io as Datasaur Authentication.

How much does the Datasaur API cost?

Datasaur publishes its prices; its Specific Workflow plan is Starting from $50K/year as of 2026-10-07. APIs.io lists 4 pricing plans for Datasaur, with each plan's price, limits and inclusions under Pricing on this page.

Is the Datasaur API ready for AI agents?

Datasaur has a Kin Score of 56.7 out of 100 (strong) and an Agent Readiness score of 20.7 (agent-aware), scored by API Evangelist on 2026-11-06.

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